extractAIC.SATcurve: extractAIC method for class 'SATcurve'

In matsukik/mrsat: Multiple Response Speed Accuracy Tradeoff

Description

Extract Akaike's An Information Criteria from a 'SATcurve' object

Usage

## S3 method for class 'SATcurve'
extractAIC(fit, scale, k = 2, useMSE = FALSE, ...)

Arguments

fit	object of class glc, gqc, gcjc, or grg
scale	unused argument
k	numeric specifying the penalty per parameter to be used in calculating AIC. Default to 2.
useMSE	logical. If TRUE, MSE is used to calculate Burnham and Anderson's (1998) AIC analog. Default to FALSE
...	further arguments (currently not used).

Details

As with the default method, the criterion used is

AIC = - 2*log L + k * df,

where L is the likelihood and df is the degrees of freedom (i.e., the number of free parameters) of fit.

Value

A numeric vector of length 2 including:

df	the degrees of freedom for the fitted model fit.
AIC	the Akaike's Information Criterion for fit.

matsukik/mrsat documentation built on May 21, 2019, 12:57 p.m.